BODS Data Engineer

This role is for one of the Weekday's clients Min Experience: 5+ years

Location: Pune, Bengaluru

JobType: full-time

We are seeking an experienced Lead Data Engineer to take end-to-end ownership of Enterprise Data Warehouse (EDW) solutions. This role will be responsible for designing, architecting, and optimizing scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, Redwood, SQL, Oracle, and modern data platforms.

The ideal candidate will combine strong hands-on technical expertise with leadership capabilities to drive data engineering best practices and deliver enterprise-grade data solutions aligned with business objectives.

Requirements Key Responsibilities

• EDW Architecture & Data Engineering
• Design and implement scalable data integration and transformation frameworks for the Enterprise Data Warehouse
• Architect and optimize ETL/ELT pipelines using SAP BODS and IBM DataStage
• Develop and maintain robust data models (Star/Snowflake schemas, SCD implementation)
• Ensure high availability, reliability, and performance of data pipelines
• Implement data governance, security, and compliance standards
• ETL Development & Optimization
• Develop complex data workflows and transformations
• Perform performance tuning of ETL jobs and SQL queries
• Optimize batch processing and scheduling using Redwood
• Implement error handling, logging, and monitoring mechanisms
• Manage incremental loads and data reconciliation processes
• Database & SQL Development
• Write and optimize complex SQL queries, stored procedures, and functions
• Work extensively with Oracle databases and related technologies
• Design and manage indexing strategies and query optimization
• Support database performance analysis and tuning
• Leadership & Team Management
• Lead and mentor a team of data engineers
• Conduct code reviews and enforce development standards
• Drive technical best practices and architecture governance
• Collaborate with cross-functional teams including BI, Analytics, and Application teams
• Participate in sprint planning, estimation, and technical roadmap discussions
• Stakeholder Collaboration
• Work closely with business stakeholders to gather and translate requirements into technical solutions
• Provide technical guidance and solution recommendations
• Ensure alignment between enterprise data strategy and business goals
• Support production issue resolution and root cause analysis

Required Skills Technical Expertise

• Strong experience with SAP BODS
• Hands-on experience with IBM DataStage
• Experience with Redwood scheduling
• Advanced SQL development
• Strong expertise in Oracle database
• Deep understanding of Enterprise Data Warehouse architecture

Data Engineering Concepts

• Data modeling (Star/Snowflake schema, SCD Types)
• ETL/ELT best practices
• Data quality frameworks
• Performance tuning and optimization
• Data security and governance standards

Preferred / Good To Have

• Experience with modern cloud data platforms (Azure, AWS, GCP)
• Knowledge of Snowflake, Databricks, or Synapse
• CI/CD implementation for data pipelines
• Exposure to data cataloging and metadata management tools
• Experience in Agile/Scrum methodologies

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 8+ years of experience in Data Engineering
• 2+ years of experience in leading technical teams

Key Competencies

• Strong architectural and analytical skills
• Leadership and mentoring capability
• Excellent communication and stakeholder management
• Problem-solving mindset
• Ability to drive enterprise-scale data initiatives
• Flexibility for Shift working is mandatory

Must-have Skills SAP BODS, SQL, IICS

Good-to-have Skills redwood, Python, Banking Domain